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» On privacy preservation against adversarial data mining
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KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 27 days ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
ICDE
2008
IEEE
177views Database» more  ICDE 2008»
14 years 9 months ago
On Anti-Corruption Privacy Preserving Publication
This paper deals with a new type of privacy threat, called "corruption", in anonymized data publication. Specifically, an adversary is said to have corrupted some individ...
Yufei Tao, Xiaokui Xiao, Jiexing Li, Donghui Zhang
DAMON
2006
Springer
13 years 11 months ago
Using secure coprocessors for privacy preserving collaborative data mining and analysis
Secure coprocessors have traditionally been used as a keystone of a security subsystem, eliminating the need to protect the rest of the subsystem with physical security measures. ...
Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth Gol...
HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
14 years 2 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
WWW
2005
ACM
14 years 8 months ago
Enhancing the privacy of web-based communication
A profiling adversary is an adversary whose goal is to classify a population of users into categories according to messages they exchange. This adversary models the most common pr...
Aleksandra Korolova, Ayman Farahat, Philippe Golle